Triple
T22955118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO/IEC JTC 1/SC 32 |
E570732
|
entity |
| Predicate | areaOfWG2 |
P150371
|
FINISHED |
| Object | metadata |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: metadata | Statement: [ISO/IEC JTC 1/SC 32, areaOfWG2, metadata]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaOfWG2 Context triple: [ISO/IEC JTC 1/SC 32, areaOfWG2, metadata]
-
A.
coreAreaOf
Indicates that one entity is the central, primary, or most important area or domain of focus for another entity.
-
B.
effectiveArea
Indicates the portion of a surface or region that actually contributes to a specified effect, such as performance, interaction, or impact, within a given context.
-
C.
typeOfAreaRepresented
Indicates that one entity specifies the kind or category of area that another entity represents.
-
D.
representedArea
Indicates that one entity serves as a representation or depiction of a particular area or region.
-
E.
governanceArea
Indicates the geographic or jurisdictional area over which an entity has governing authority or responsibility.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f09de48190b55913570c965412 |
completed | April 29, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:47 p.m.